By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’sPrivacy Noticeand Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description

Since 1972, Takeda has had two sites in Italy for producing plasma-derived drugs in Rieti and Pisa, supporting patients with rare and complex diseases. These sites focus on the production of therapies derived from immunoglobulins, albumin, and coagulation factors. As a partner of the National Health System, we transform plasma into life-saving drugs under the “National Self-Sufficiency of Blood and its Products” program. We provide high-quality drugs worldwide, with a strong presence in Europe, America, and Asia.

Across Italy and the world, Takeda is recognized as a Top Employer by the Top Employers Institute based on our commitment to career development, inclusion, learning, sustainability, wellness, and, most importantly, our values.

Join us to make a difference.

About the role:

As a Senior Data Scientist, you will manage and execute local data science initiatives to improve productivity not limited to data availability enhancement, process modeling using ML tools, digital twins. Identifies local data science possibilities/initiatives/requests in collaboration with local team, DD&T, Engineering, Quality and global Data Science.

How you will contribute:

• Provide technical support to manufacturing processes, investigation, yield optimization, process monitoring and support internal and/or external functional/ multifunctional teams in trouble shooting and problem solving

• Identify patterns, trends and anomalies in batch data providing valuable insights into process variability, process performance and product quality

• Support and drive the Manufacturing Science department activities (i.e. yield improvement projects, process robustness initiatives, process monitoring and CPV) and the site initiatives (i.e. cycle time reduction projects) with advanced data analysis (Machine Learning) and promote use off the shelf data analysis software (Minitab, SIMCA, Qlik, …)

• Drive and support local digital data science initiatives according to prioritization (e.g. Yield Improvement, real-time monitoring, predictive process performance etc.).

• Expand and unlock new knowledge for effective process monitoring and process improvement optimizations (e.g. descriptive statistics and visualization, statistical process control, out-of-the-box-tools).

• Provide technical support to manufacturing processes, investigation, yield optimization and process monitoring with advanced data analysis.

• Own and maintain Manufacturing Science/ Manufacturing related dataset

• Manage investigations and support internal and/or external functional/ multifunctional teams in trouble shooting and problem solving

• Translate business problems into opportunities and effectively communicate findings with stakeholders.

• Gathers and identify local data science possibilities/initiatives/requests in collaboration with local team, DD&T, Engineering, Quality and global GMS data science.

• Supports and participates in global/functional/local GMS data science community

• Support in maintaining the GMP archive for the group, including responsibility of document withdrawal and destroy

• Responsible for day-to-day operation of local data science function, covering all data science levels and related technologies.

What you bring to Takeda:

• Master or PhD degree in technical/scientific education, preferably pharmaceutical sciences, chemistry, biotechnology, bioinformatics or pharma - process engineering

• Previous experience in Data Analysis (3 years)

• Proven experience in statistics, data analysis or equivalent academic experience/course record. Proven knowledge of six-sigma and DMAIC methodology 

• Good written and spoken Italian and English mandatory

• Mathematical and Statistical Knowledge

• Experience in coding skills es in Python/R (preferred)

• Proficiency in database languages (SQL), understanding of data models and databases

• Expertise and experience in Machine Learning, Artificial Intelligence/Deep Learning, Big Data and Digital (preferred)

• Proven experience in statistics, data analysis or equivalent academic experience/course record. Proven knowledge of six-sigma and DMAIC methodology 

• Good written and spoken Italian and English mandatory

• Mathematical and Statistical Knowledge

• Experience in coding skills es in Python/R (preferred)

• Proficiency in database languages (SQL), understanding of data models and databases

• Expertise and experience in Machine Learning, Artificial Intelligence/Deep Learning, Big Data and Digital (preferred)

• Knowledge of plasma fractionation process (preferred)

• Capabilities to translate business needs into data analytics concepts and the other way

• Strategic enterprise thinking, finding innovative ways to serve patients build reputation and trust.

• Good understanding of industry, scientific and data science trends and market conditions to develop solutions enhancing compliance and quality of life for patients.

• Good communication and presentation skills as well as influencing skills.

What Takeda can offer you:

We want our employees to succeed in everything they do - at work, at home, and in the community. This is why we offer world-class benefits and access to resources that can support people.

Health and Finance

• Health Care Assistance Insurance

• Employee Stock Purchase Plan

• Employee discount programs on commercial establishments, shops, medical services

Training and Development

• Technical skill training and professional development

• Job Rotation programs for working in other departments

• Spontaneous employee groups for awareness on Diversity, Equity, and Inclusion issues and community engagement activities

• Value-based culture

Individual Support

• Wellness programs

• On-site cafeteria and bar

• Resources for mental, physical, financial, and spiritual health

• Parental Leave

NOTE:

• Belonging to protected categories (Law No. 68/99) will be considered a preferential qualification.

Important Considerations:

At Takeda, our patients rely on us to create quality products, and we aim to create a safe environment for our team members. As a result, we must follow strict rules in our manufacturing facilities to ensure we are not endangering the quality of the product or putting anyone at the site in harm's way. In this role, you may:

• Willingness to travel to various internal/external Takeda meetings and events

More About Us:

At Takeda, we are transforming patient care through the development of innovative specialty medicines and first-class patient support programs. Takeda is a patient-oriented company that will inspire and empower you to grow through life-changing work.

Certified as a Global Top Employer, Takeda offers stimulating careers, encourages innovation, and aims for excellence in everything we do. We promote an inclusive and collaborative work environment where our teams are united by an unwavering commitment to delivering Better Health and a Brighter Future to people worldwide.

EMPOWERING OUR PEOPLE TO SHINE

Takeda is proud of its commitment to creating a diverse workforce and offering equal employment opportunities to all employees and applicants without distinction of race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information, marital status, or any other characteristic protected by law.

#GMSGQ

#LI-LA1

Locations

Worker Type

Worker Sub-Type

Time Type